Nitric Oxide-Mediated Regulation of Cancer Immune Escape
Bibliographic record
Abstract
There is now evidence that nitric oxide (NO) regulates hypoxia-induced malignant phenotypes such as invasiveness, metastatic ability, and drug resistance in tumor cells. Recent studies have also revealed that the ability of tumor cells to avoid destruction by innate immune effector mechanisms (immune escape) is stimulated by hypoxia through a mechanism that appears to involve inhibition of NO signaling. Specifically, it was shown that NO activity blocks the hypoxia-induced resistance of prostate cancer cells to the lytic activity of peripheral blood lymphocytes by preventing the shedding of major histocompatibility complex class I chain-related (MIC) molecules from the tumor cell membrane. MIC plays an important role in tumor immune surveillance through its interaction with the NKG2D receptor on natural killer and cytotoxic T cells. These findings suggest that the hypoxic tumor microenviron-ment contributes to impaired immune surveillance, and that activation of NO signaling is of potential use in cancer immunotherapy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".